Analytics & Automation Lead, User Safety & Risk Operations

Details

About the Team

At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. The Analytics & Automation team helps USRO operate more effectively and scale safely by building automation, analytics, reporting, monitoring, and quality systems that improve how work is prioritized, reviewed, measured, and managed across the organization.

Our work includes workflow automation, operational health dashboards, queue and case analysis, quality measurement, classifier and evaluation feedback loops, alerting, reporting infrastructure, and decision-support tools. We partner closely with operational teams as well as Product, Engineering, Product Policy, Safety, and Support to identify high-leverage opportunities and build practical systems that improve outcomes.

About the Role

This is a hands-on leadership role to manage and grow a senior technical operations team responsible for building the analytics, automation, and quality systems that help User Safety and Risk Operations scale. You will translate messy operational problems into practical, measurable solutions; guide senior technical and analytical ICs; prioritize across competing needs; and build durable infrastructure and reusable capabilities that improve performance across multiple operational teams.

Location / work model: San Francisco, CA; hybrid, 3 days/week in-office.

Please note: This role may involve exposure to sensitive or concerning content. Strong discretion, judgment, and resilience are essential.

Responsibilities

• Lead and develop a senior team of technical and analytical individual contributors responsible for automation, analytics, reporting, and other systems.
• Set the strategy and operating cadence for a horizontal team supporting safety and risk operations across multiple workflows and domains.
• Prioritize a portfolio of high-impact opportunities, making tradeoffs based on user impact, risk reduction, operational need, technical feasibility, and scalability.
• Build systems that improve operational health and visibility, including data infrastructure, dashboards, SLA and backlog monitoring, and quality measurement.
• Design and implement workflow improvements such as automated triage, routing, prioritization, signal enrichment, case clustering, review assistance, and reporting automation.
• Build and improve systems and strategies for emerging risk identification, analysis, and signal sharing.
• Identify where AI, LLMs, classifiers, or lightweight tooling can materially improve operational work, while designing appropriate evaluation, monitoring, human review, and fallback paths.
• Establish measurement and quality frameworks for operational systems, including golden sets, sampling strategies, reviewer calibration, false-positive and false-negative monitoring, and system-health metrics.
• Partner with operational leaders to understand workflows, identify root causes and bottlenecks, and turn high-value needs into scalable systems rather than one-off analyses.
• Collaborate with Product, Engineering, Policy, Legal, Safety, Support, and other partner teams to translate user and operational insights into better tools, processes, and outcomes.
• Raise the bar for technical judgment, written communication, prioritization, and execution across a senior, independent team.

Requirements

• 12+ years of relevant experience across trust and safety, risk operations, data, analytics, automation, product operations, integrity, fraud, or similarly high-stakes operational environments.
• 4+ years of people management experience, including leading senior technical, analytical, or highly independent individual contributors.
• Highly technical for an operations leader: comfortable with SQL, dashboards, data quality, classifier/eval concepts, automation design, and practical AI tooling.
• Experience working with LLMs, agentic workflows, Codex-like tools, or internal AI platforms to automate operational work.
• Experience building systems that materially improved operational workflows (workflow automation, triage/routing systems, detection workflows, operational reporting, or classifier feedback loops).
• Ability to design human-in-the-loop review, monitoring, quality controls, and fallback mechanisms for sensitive workflows.
• Strong operational judgment and understanding of running complex workflows at scale (queues, reviewer processes, escalations, capacity constraints, quality assurance).
• Clear and concise communication with technical, operational, and executive audiences.
• Ability to operate with high agency in ambiguous environments and create structure, momentum, and measurable progress without overbuilding.

Nice to Have

• Experience in trust and safety, adversarial abuse, integrity, risk operations, or user safety at a scaled technology company.
• Experience with classifier development, eval design, golden sets, labeling guidance, reviewer calibration, or model-quality feedback loops.
• Experience leading analytics or automation work that supports multiple partner teams or business lines.
• Experience building quality programs, audit processes, or decision records for sensitive or regulated workflows.
• Familiarity with vendor operations, BPO training, QA, or scaled review programs.

Benefits

• Base pay range listed for the role: $302,000 – $335,000 (total compensation includes equity and potential bonuses).
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks).
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
• 13+ paid company holidays and multiple coordinated office closures, plus paid sick or safe time as required by law.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning and development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We seek to safely deploy AI capabilities and value diverse perspectives and experiences. Background checks are administered where applicable. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.